Invention Grant
- Patent Title: Generating machine renderable representations of forms using machine learning
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Application No.: US16940604Application Date: 2020-07-28
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Publication No.: US11436407B2Publication Date: 2022-09-06
- Inventor: Vinoth Jeba Kumar Radha Krishnan , Ganesh Bhat
- Applicant: Intuit Inc.
- Applicant Address: US CA Mountain View
- Assignee: Intuit Inc.
- Current Assignee: Intuit Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Ferguson Braswell Fraser Kubasta PC
- Main IPC: G06F40/177
- IPC: G06F40/177 ; G06F16/28 ; G06F16/22 ; G06F16/21

Abstract:
A method may include clustering form elements into line objects and columns of a table of a structured representation by applying a trained multi-dimensional clustering model to spatial coordinates of the form elements, and assigning a table header line type to a table header line object of the line objects based on a spatial coordinate of the table header line object relative to a spatial coordinate of a topmost table data line object of the line objects, and a determination that a number of columns of the table header line object is within a threshold of a number of columns of the topmost table data line object. The topmost table data line object may be assigned a table data line type. The method may further include presenting the structured representation to a user.
Public/Granted literature
- US20220035996A1 GENERATING MACHINE RENDERABLE REPRESENTATIONS OF FORMS USING MACHINE LEARNING Public/Granted day:2022-02-03
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